A mobile device for handling objects includes a radio frequency identifier reader for receiving radiation emitted by object-specific radio frequency identifiers attached to the objects and radiation emitted by fixed radio frequency identifiers. The mobile device includes a processing system that computes a speed estimate for the mobile device based on a distance between two fixed radio frequency identifiers and a time-difference between receptions of radiation from these fixed radio frequency identifiers. The processing system determines, based on radiation received from each object-specific radio frequency identifier, a movement indicator indicative of movement of the mobile device with respect to the corresponding object. When the speed estimate exceeds a threshold, the processing system classifies objects which are moving in accordance with the movement indicator to be objects non-belonging to a load of the mobile device. The mobile device can be for example a forklift.

The disclosure provides a multimodal speech recognition method and system, and a computer-readable storage medium. The method includes calculating a first logarithmic mel-frequency spectral coefficient and a second logarithmic mel-frequency spectral coefficient when a target millimeter-wave signal and a target audio signal both contain speech information corresponding to a target user; inputting the first and the second logarithmic mel-frequency spectral coefficient into a fusion network to determine a target fusion feature, where the fusion network includes at least a calibration module and a mapping module, the calibration module is configured to perform mutual feature calibration on the target audio/millimeter-wave signals, and the mapping module is configured to fuse a calibrated millimeter-wave feature and a calibrated audio feature; and inputting the target fusion feature into a semantic feature network to determine a speech recognition result corresponding to the target user. The disclosure can implement high-accuracy speech recognition.

A system, method, and computer-readable medium having instructions stored thereon to enable an ego vehicle having an autonomous driving function to estimate and traverse a curved segment of highway utilizing radar sensor data. The radar sensor data may comprise stationary reflections and moving reflections. The ego vehicle may utilize other data, such as global positioning system data, for the estimation and traversal. The estimation of the curvature may be refined based upon a lookup table or a deep neural network.

A system, method, and computer-readable medium having instructions stored thereon to enable an ego vehicle having an autonomous driving function to estimate and traverse a curved segment of highway utilizing radar sensor data. The radar sensor data may comprise stationary reflections and moving reflections. The ego vehicle may utilize other data, such as global positioning system data, for the estimation and traversal. The estimation of the curvature may be refined based upon a lookup table or a deep neural network.

A method and electronic device for determining relevant signals in radar signal processing. The electronic device includes a radar transceiver, a memory, and a processor. The processor is configured to cause the electronic device to obtain, via the radar transceiver of the electronic device, radar measurements for one or more modes in a set of modes; process the radar measurements to obtain a set of radar images; identify relevant signals in the set of radar images based on signal determination criteria for an application; and perform the application using only the relevant signals.

A method and electronic device for determining relevant signals in radar signal processing. The electronic device includes a radar transceiver, a memory, and a processor. The processor is configured to cause the electronic device to obtain, via the radar transceiver of the electronic device, radar measurements for one or more modes in a set of modes; process the radar measurements to obtain a set of radar images; identify relevant signals in the set of radar images based on signal determination criteria for an application; and perform the application using only the relevant signals.

The present application relates to radio detection and ranging (radar) systems and, in particular, to a radar system having a photonics-based signal generator. Such a radar system comprises a stepped-frequency optical signal generator, an optical-to-electrical converter, and a transmitter. The stepped-frequency optical signal generator is configured for converting an optical signal into a stepped-frequency optical signal. The optical-to-electrical converter for converting the stepped-frequency optical signal into a stepped-frequency electrical signal. The transmitter for transmitting a microwave signal based on the stepped-frequency electrical signal.

An electronic device and a method for controlling the same are provided. The electronic device includes a communicator including circuitry, a first sensor configured to detect movement information of the electronic device, a memory including a first determination module configured to determine whether a user carries the electronic device and a second determination module configured to determine a detecting method for detecting a user location, and a processor configured to identify whether a user of the electronic device carries the electronic device based on the movement information of the electronic device obtained by the first sensor by using the first determination module, and determine a detecting method for detecting location information of the user according to whether the user carries the electronic device by using the second determination module.

An apparatus for monitoring the surrounding environment of a vehicle includes: a plurality of detection sensors to detect an object outside the vehicle according to a frame at a predefined period; and a controller to extract a stationary object from among objects detected by the detection sensors, to map the stationary object to a grid map, to calculate an occupancy probability parameter indicative of a probability that the stationary object will be located on a grid of the grid map, and to monitor the surrounding environment of the vehicle based on the occupancy probability parameter. The controller maps the stationary object to the grid map while updating the grid map by changing an index of each grid constituting the grid map according to behavior information of the vehicle.

Trapped or confined individuals may be located and rescued by detecting their movement using reflected, radio frequency signals over a range of multiple antenna polarities.